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Journal of Electronic Imaging

Detail-enhanced and brightness-adjusted exposure image fusion
Author(s): Guocheng Yang; Meiling Li; Yunbo Rao; Leiting Chen
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Paper Abstract

We present a multiexposure image fusion method that can enhance details, yet effectively improve brightness in the final result. In addition, a valid weight measurement is developed to remove motion objects in dynamic scenes. During the fusion process, each source image is first decomposed into one low-pass sub-band and a series of high-pass directional sub-bands using the nonsubsampled contourlet transform. Then the blended sub-bands are constructed by weight maps of the source images. To preserve the details of source images and adjust brightness of final image, gain control maps are used for each fused sub-band. Experimental results demonstrate that the proposed method significantly outperforms the traditional methods in terms of both visual inspection and objective evaluation, especially in cases which the regions of interest are in dark areas.

Paper Details

Date Published: 28 May 2015
PDF: 11 pages
J. Electron. Imaging. 24(3) 033017 doi: 10.1117/1.JEI.24.3.033017
Published in: Journal of Electronic Imaging Volume 24, Issue 3
Show Author Affiliations
Guocheng Yang, Univ. of Electronic Science and Technology of China (China)
Sichuan Medical Univ. (China)
Provincial Key Lab. of Digital Media (China)
Meiling Li, Univ. of Electronic Science and Technology of China (China)
Yunbo Rao, Univ. of Electronic Science and Technology of China (China)
Leiting Chen, Univ. of Electronic Science and Technology of China (China)
Provincial Key Lab. of Digital Media (China)


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